Report on Finland

Introduction

This report explores attitudes towards gender roles and immigration in Finland using data from 2017 European Value Study (EVS). Key variables analyzed include v72 and v80, which respectively measure perceptions on maternal employment effects and job priority during scarcity. We will incorporates demographic information such as age, sex, and education level for a comprehensive analyses.

  • v72 - Child suffers with working mother
    • Question: When a mother works for pay, the children suffer
    • Scale: 1 (Strongly agree) to 4 (Strongly disagree)
  • v80 - Jobs are scarce:giving…(nation)priority
    • Question: When jobs are scarce, employers should give priority to [Nationality] people over immigrants”
    • Scale: 1 (Strongly agree) to 4 (Strongly disagree)

Descriptive Analysis

Below tables are descriptive statistics for both continuous (v72, v80, age) and categorical variables (sex, education) in Finland.

Summary Statistics for v72 and v80
Variables Mininum 1st Qu. Median Mean 3rd Qu. Maximum
v72 1 3.00 3 3.10100 4 4
v80 1 2.00 3 2.75700 4 5
age 18 38.75 57 53.75601 68 82
Summary Statistics for sex and education
variable value frequency proportion
sex Male 571 0.0096
sex Female 626 0.0105
sex NA 2 0.0000
education lower 201 0.1676
education medium 462 0.3853
education higher 526 0.4387
education other 4 0.0033
education NA 6 0.0050

Change in Attitudes by Age

The two graphs presented below illustrates how the two variables of interest change with age in Finland. The X-axis denotes age, while the Y-axis represents the average level of disagreement for v72 and v80.

Regression models

The table below shows regression models for both attitudes towards Child suffers (v72) and Job to national (v80) in Finland. The models include respondents’ age, age squared, sex and education.

Outputs from Regression Models
  Child suffers(v72) Job to national(v80)
(Intercept) 3.08*** 2.36***
  (0.15) (0.28)
age 0.01 0.00
  (0.01) (0.01)
age^2 -0.00** -0.00
  (0.00) (0.00)
sexFemale 0.13*** 0.16*
  (0.04) (0.07)
edumedium 0.13* 0.30**
  (0.06) (0.11)
eduhigher 0.28*** 0.86***
  (0.06) (0.11)
eduother 0.31 0.07
  (0.32) (0.60)
R2 0.15 0.10
Adj. R2 0.14 0.09
Num. obs. 1139 1148
***p < 0.001; **p < 0.01; *p < 0.05

Based on the model above, it appears that the sex variable has a significant impact on v72. It shows that females are more likely to disagree that the child suffers if the mother works by 0.13 compared to males, showing a positive relationship. (p<0.05) In the Job to national(v80) model, it appears that the sex variable has a significant impact on v80. It shows that females are more likely to disagree that a national should have priority for jobs when these are scarce by around 0.16 compared to males, showing a positive relationship. (p<0.05)